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Small Datum: Low-concurrency performance for point lookups: MySQL 5.7.5 vs previous releases
http://www.smalldatum.blogspot.com/2014/10/low-concurrency-performance-for-point.html
Thursday, October 2, 2014. Low-concurrency performance for point lookups: MySQL 5.7.5 vs previous releases. My series on low-concurrency performance continues. Previously I compared results for sql-bench. And here I use point queries run by mysqlslap. Compared to MySQL 5.0.85, for the workload with 1 thread:. Response time for 5.7.5 is 1.47X worse without the PS and 1.51X worse with the PS. Response time for 5.6.21 is 1.37X worse without the PS and 1.43X worse with the PS. The next 3 charts show the chan...
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domas mituzas – Page 2
https://dom.as/page/2
On io scheduling again. Most of database engines have to deal with underlying layers – operating systems, device drivers, firmware and physical devices, albeit different camps choose different methods. From overall general perspective database workload on I/O stack looks like this:. So, to properly schedule things we need to inform operating system better about our intentions. The standard in database world is. Scheduler, which separates reads and writes into separate queues and thats about it – it...
MySQL Group Replication : Hello World! | MySQL High Availability
http://mysqlhighavailability.com/mysql-group-replication-hello-world
News from the MySQL High Availability Team. MySQL Group Replication : Hello World! September 30, 2014. Before diving into the details of MySQL Group Replication, lets first introduce some background concepts and an overview of how things work. These will provide some context to help understand what this is all about and what are the differences between traditional MySQL replication and the one implemented in this new plugin. Figure 1. Simplified flow of the different MySQL Replication Protocols. You can ...
Is mysql/innodb good for high volume inserts? | Scalemysql
http://www.scalemysql.com/blog/2015/08/04/is-mysqlinnodb-good-for-high-volume-inserts
Is mysql/innodb good for high volume inserts? So a quick review of each of the three structures,. We’ve done up to 100,000 q/s primarily inserts into mysql/innodb on our production machines using a b-tree data structure, 32-core CPUs with multiple secondary indexes, into a 3TB table, and that’s without using nosql api’s such as handlersocket or memcached (we do use stored procedures). That matches or surpasses most benchmarks for inserts I’ve seen, regardless of the product. The math works out to be,.
innodb – domas mituzas
https://dom.as/tag/innodb
How innodb lost its advantage. The new way is “ InnoDB Transparent PageIO Compression. 8221; – and it makes lots of sense from full-stack architecture perspective. It relies on the fact that high end flash storage devices already have a log-structured block storage internally, and if one ties directly into it, lots of overhead can be avoided (similar concepts are used by MariaDB’s atomic writes. Another problem is that buffer pool is no longer compressed. This may mean you will need to buy devices wi...
mysql – domas mituzas
https://dom.as/category/mysql
MySQL does not need SQL. The “DBMS” part of MySQL is fine – storage engines (especially with new kids on the block. Replication, etc, but it really sucks at executing SQL. I won’t even get into complex SQL that has complex data dependencies, will start with very basic tasks. SELECT * FROM table WHERE indexed = "A" LIMIT 1. How would a direct cursor access work? Single index hit. Want to simulate that in SQL? SELECT * FROM table WHERE indexed IN (101, 201, 301) LIMIT 1. There’s an easy optimization ...
December 2015 – charity.wtf
https://charity.wtf/2015/12
Charity wtf's about technology, databases, startups, engineering management, and whiskey. DevOps vs SRE: delayed coverage of the dumbest war. Operational Best Practices #serverless. Scrapbag of useful Terraform tips. 2015 in recaps and life changes. December 29, 2015. December 30, 2015. 2015 is dead, long live 2016. THIS IS MY FACE ON A PILLAR. you are allowed to find this incredibly creepy. The three things that stood out for me this year were:. MongoDB RocksDB (aka “mongo grows up”). When I started run...
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Small Data Problems - Here we provide some tips and techniques to store small data. Organize your data in an authenticate way.
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